In this section, we expose and share our trade secrets and methods.
What we do – our service uses data, AI and other methods to determine the Score Metagraph and “the proof of awesomeness” (score PDF)
We don’t use non-relevant information such as… name, age, gender, country of origin, post-hiring data, subjective inferences. Why? This eliminates bias in our scoring.
The dangers of unsupervised AI in HR
⁃ AI using non-relevant information creates bias in hiring
⁃ AI black box secrecy shields data science from transparent, external validation.
Who should care?
- CTOs and Investors evaluating our scoring service
- Jobseekers worried that hiring practices are biased, unfair and costing them job interviews and offers
- Jobseekers worried about their privacy, and use of their data
Our Open Documentation
We are exposing and sharing our processes and methods
- Makes client and investor due diligence easier
- Builds trust in Geescore
- Exposes bad industry practices
- Showcases a better way to operate – using AI doesn’t have to be a race to the bottom
How Can We Help?